Technical Note: Deep Learning approach for automatic detection and identification of patient positioning devices for radiation therapy.

Thomas, David H; Schubert, Leah K; Vinogradskiy, Yevgeniy; Nath, Sameer; Kavanagh, Brian; Miften, Moyed; Jones, Bernard

Thomas, David H; Schubert, Leah K; Vinogradskiy, Yevgeniy; Nath, Sameer; Kavanagh, Brian; Miften, Moyed; Jones, Bernard.

Afiliación

Thomas DH; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Schubert LK; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Vinogradskiy Y; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Nath S; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Kavanagh B; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Miften M; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.
Jones B; Department of Radiation Oncology, University of Colorado, Aurora, CO, USA.

Med Phys ; 47(10): 5061-5069, 2020 Oct.

Article en En | MEDLINE | ID: mdl-32562501

Asunto(s)

Aprendizaje Profundo; Automatización; Humanos; Redes Neurales de la Computación; Posicionamiento del Paciente

Palabras clave

computer vision; incident learning; machine learning; setup devices

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans Idioma: En Revista: Med Phys Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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